Systems, methods, and computer-readable media are provided for wearable navigation systems. In some examples, a wearable navigation system may determine the distance between an object and one or more distance sensors based on signals received from an environment, where the distance sensors are part of a sensor package. In some aspects, the wearable navigation system may determine, using an inertial measurement unit, a position, speed, and acceleration of the wearable navigation system, where the inertial measurement unit is part of the sensor package. In some cases, the wearable navigation system may determine, by a Central Processing Unit (CPU) coupled to the sensor package, information associated with the object with respect to the wearable navigation system. In some instances, the wearable navigation system may generate, by an actuator system coupled to the sensor package, feedback signals in response to information associated with the object.

Systems, methods, and computer-readable media are provided for wearable navigation systems. In some examples, a wearable navigation system may determine the distance between an object and one or more distance sensors based on signals received from an environment, where the distance sensors are part of a sensor package. In some aspects, the wearable navigation system may determine, using an inertial measurement unit, a position, speed, and acceleration of the wearable navigation system, where the inertial measurement unit is part of the sensor package. In some cases, the wearable navigation system may determine, by a Central Processing Unit (CPU) coupled to the sensor package, information associated with the object with respect to the wearable navigation system. In some instances, the wearable navigation system may generate, by an actuator system coupled to the sensor package, feedback signals in response to information associated with the object.

An example operation includes one or more of collecting, by the transport, data from a device associated with an occupant containing an amount of movement of the device and an amount of time elapsed during the movement, and determining an injury level of the occupant based on the data after a collision.

An autonomous robotic vehicle is capable of detecting, identifying, and locating the source of gas leaks such as methane. Because of the number of operating components within the vehicle, it may also be considered a robotic system. The robotic vehicle can be remotely operated or can move autonomously within a jobsite. The vehicle selectively deploys a source detection device that precisely locates the source of a leak. The vehicle relays data to stakeholders and remains powered that enables operation of the vehicle over an extended period. Monitoring and control of the vehicle is enabled through a software interface viewable to a user on a mobile communications device or personal computer.

An autonomous robotic vehicle is capable of detecting, identifying, and locating the source of gas leaks such as methane. Because of the number of operating components within the vehicle, it may also be considered a robotic system. The robotic vehicle can be remotely operated or can move autonomously within a jobsite. The vehicle selectively deploys a source detection device that precisely locates the source of a leak. The vehicle relays data to stakeholders and remains powered that enables operation of the vehicle over an extended period. Monitoring and control of the vehicle is enabled through a software interface viewable to a user on a mobile communications device or personal computer.

An asset tracker deployed in an engineless vehicle and a telematics device coupled to a vehicle both send location updates to a telematics server. The asset tracker sends location updates at a faster rate upon leaving a shipping yard, for example. The telematics server associates the vehicle and engineless vehicles, determines whether they are travelling together, and sends a notification when they are not supposed to be travelling together.

An asset tracker deployed in an engineless vehicle and a telematics device coupled to a vehicle both send location updates to a telematics server. The asset tracker sends location updates at a faster rate upon leaving a shipping yard, for example. The telematics server associates the vehicle and engineless vehicles, determines whether they are travelling together, and sends a notification when they are not supposed to be travelling together.

The present invention relates to a method for updating strapdown inertial navigation solutions based on a launch-centered earth-fixed (LCEF) frame (g frame). The present invention uses the g frame as a navigation reference frame of a medium-to-short-range surface-to-surface missile. This is beneficial to establish a relative relationship between the missile and the ground so as to keep the same missile parameters required by a missile control and guidance system. The calculation of a navigation algorithm in the g frame is moderate, which is suitable for an embedded system.

The present invention relates to a method for updating strapdown inertial navigation solutions based on a launch-centered earth-fixed (LCEF) frame (g frame). The present invention uses the g frame as a navigation reference frame of a medium-to-short-range surface-to-surface missile. This is beneficial to establish a relative relationship between the missile and the ground so as to keep the same missile parameters required by a missile control and guidance system. The calculation of a navigation algorithm in the g frame is moderate, which is suitable for an embedded system.

A system that measures a swing of equipment (such as a bat or golf club) with inertial sensors, and analyzes sensor data to create a rotational profile. Swing analysis may use a two-lever model, with a body lever from the center of rotation to the hands, and an equipment lever from the hands to the sweet spot of the equipment. The rotational profile may include graphs of rates of change of the angle of the body lever and of the relative angle between the body lever and the equipment lever, and a graph of the centripetal acceleration of the equipment. These three graphs may provide insight into players' relative performance. The timing and sequencing of swing stages may be analyzed by partitioning the swing into four phases: load, accelerate, peak, and transfer. Swing metrics may be calculated from the centripetal acceleration curve and the equipment/body rotation rate curves.